This study sought to examine whether interpersonal goals can help us understand who engages in social-capital-building responsive behaviors and envy-eliciting passive behaviors on Facebook. One ...hundred eighty-eight adults completed measures of interpersonal goals (compassionate and self-image), Facebook use (posting, responding, and searching), social capital sources and benefits, social comparison, and envy, along with various control measures. Serial mediation analyses revealed that compassionate goals significantly predicted four distinct social capital benefits (offline participation, emotional support, horizon broadening, and networking value) through greater Facebook responding and sources of social capital. Furthermore, self-image goals significantly predicted envy through greater Facebook searching and social comparison. These effects were significant with and without controlling for age, gender, Facebook friends, Facebook frequency, Facebook hours, self-esteem, attachment style, social desirability, and the other interpersonal goal and Facebook behaviors. Consistent with research on interpersonal goals in offline interactions, compassionate goals predicted more responsive behaviors and better social outcomes, while self-image goals predicted a competitive mindset and negative emotion. These findings extend the social networking site (SNS) literature by identifying a relevant new individual difference associated with SNS use and key outcomes related to well-being.
•Expectancy Violation Theory (EVT) is applied to Facebook unfriending.•Online surveys examined over 500 adults who were unfriended.•Being unfriended was a moderately expected and negative ...violation.•Being unfriended was a moderately-to-highly important expectancy violation.•The findings extend EVT to being unfriended on Facebook.
This study considered being unfriended on Facebook as an expectancy violation that could vary in valence, importance, and expectedness according to a number of relationship and Facebook involvement characteristics. Facebook users who had been unfriended responded to a variety of quantitative scales via an online survey. Being unfriended constituted a moderately expected and negative, and moderately-to-highly important, expectancy violation. Whether ties with the unfriender were close versus weak best predicted valence and importance and the extent to which the unfriended individual used Facebook to connect with existing contacts best explained violation expectedness. Violation importance also predicted whether or not the unfriended individual contacted the former friend about being unfriended. Results supported Expectancy Violation Theory and extended knowledge about Facebook unfriending.
Time perspective is a predictor of addictive behaviors. As the number of Internet and Facebook users is increasing, it is worth investigating the role of time perspective in maladaptive types of ...usage. In this study, we examined the potential relationship of time perspective with Internet addiction and Facebook intrusion. The participants were 756 Internet users with Facebook accounts. We used the Zimbardo Time Perspective Inventory, the Facebook Intrusion Questionnaire, the Facebook Intensity Scale, and the Internet Addiction Test. We analyzed similar associations between time perspective and the two types of addiction. Age and daily time spent online were predictors of Internet addiction, Facebook intensity, and Facebook intrusion. Past Negative and Present Fatalistic orientations were positive predictors for both types of addiction, whereas Future time perspective was a negative predictor. Present Hedonistic orientation was a negative predictor only of Internet addiction. The findings of this study may contribute to the development of health promotion interventions and workshops aimed at preventing maladaptive online behaviors.
•Past Negative and Present Fatalistic were positive predictors for both types of addiction and Facebook intensity.•Future was a negative predictor of these two types of addictions.•Present Hedonistic was a negative predictor only of Internet addiction.
Business researchers use experimental methods extensively due to their high internal validity. However, controlled laboratory and crowdsourcing settings often introduce issues of artificiality, data ...contamination, and low managerial relevance of the dependent variables. Field experiments can overcome these issues but are traditionally time- and resource-consuming. This primer presents an alternative experimental setting to conduct online field experiments in a time- and cost-effective way. It does so by introducing the Facebook A/B split test functionality, which allows for random assignment of manipulated variables embedded in ecologically-valid stimuli. We compare and contrast this method against laboratory settings and Amazon Mechanical Turk in terms of design flexibility, managerial relevance, data quality control, and sample representativeness. We then provide an empirical demonstration of how to set up, pre-test, run, and analyze FBST experiments.
The study was carried out in collaboration with the coordinator of an undergraduate architecture course at a Western Australian university. The course had recently been re-designed to increase ...participation of students in on-campus lectures and improve the depth of engagement of students in the learning program. The major focus of the redesign was the incorporation of a Facebook group to encourage active engagement of students.
The study aimed to examine the response of students to this re-design, with a view to identifying elements of their learning experience that could be the focus of improvement in future iterations of the learning design. Elements of the student learning experience explored were access to information and resources, support and motivation, participation and collaboration, assessment and feedback as well reflection and knowledge construction. In addition to examining student responses to the redesign, the study aimed to identify aspects of their Facebook experience that may influence their perception about their overall course experience. Multiple regression analyses showed that students in this study were likely to report satisfaction with elements of their experience when any concerns about posting on Facebook were well managed, a sense of community was experienced by students through Facebook and they felt encouraged to learn through their Facebook engagement.
•Facebook group integrated in unit course design.•Student concerns of what is posted on Facebook contributes to the satisfaction of their learning experience.•Conversational tone on Facebook group does not significantly affect student learning experience overall.•Sense of community is a critical factor in designing Facebook group learning.•Peer learning on Facebook results in a positive influence on Feedback.
Determinants of News Sharing Behavior on Social Media Thompson, Nik; Wang, Xuequn; Daya, Pratiq
The Journal of computer information systems,
11/01/2020, 2020-11-01, 20201101, Letnik:
60, Številka:
6
Journal Article
Recenzirano
Social media is relied upon as a single portal for entertainment, communication, and news. To understand determinants of new sharing, we empirically evaluate data from 188 Facebook users with PLS ...structural equation modelling. Results support the significant influence of information sharing and status seeking gratifications on news sharing, and that this significance varies across contexts. We find that status seeking gratification has a stronger effect on news sharing when news quality is more emphasized. In other words, sharing low-quality news can be damaging to an individual's status and they try to avoid it. However, information sharing gratification has a stronger effect on news sharing for those individuals who rely more on credibility and may be employing more heuristic selection approaches. This work has opened up new opportunities for further research and it is hoped that this may contribute to improving the quality and experience of news sharing in social media.
Previous research on Social Networking Sites (SNSs) addiction have suggest the need to improve assessment of this behavioral addiction. The present study aimed at validating a Portuguese version of ...the Bergen Facebook Addiction Scale (BFAS), a widely used instrument to assess addiction to Facebook. A study was conducted in a sample of 509 Portuguese adolescent using an online survey. The psychometric properties (construct validity, criterion validity, and reliability) of the Portuguese BFAS was scrutinized. The results from the psychometric analyses suggested that the new validated instrument had excellent psychometric properties. The CFA confirmed the original one-factor solution of the BFAS and criterion validity was warranted. The reliability of the BFAS was supported by satisfactory levels of internal consistency as measured by the Cronbach’s alpha (α = .83), composite reliability (CR = .82), and factor determinacy (FD = .91). Overall, the results provided empirical support for the validity and reliability of the Portuguese BFAS. Moreover, the results were highly comparable with the findings of the original development study of the BFAS and cross-cultural support for the scale was obtained.
Sociological studies show that Internet access, skills, uses, and outcomes vary between different population segments. However, we lack differentiated statistical evidence of the social ...characteristics of users of distinct social media platforms. We address this issue using a representative survey of Great Britain and investigate the social characteristics of six major social media platforms. We find that age and socioeconomic status are driving forces of several—but not all—of these platforms. The findings suggest that no social media platform is representative of the general population. The unrepresentativeness has major implications for research that uses social media as a data source. Social media data cannot be used to generalize to any population other than themselves.
We examine potential bias in Facebook’s 10-trillion cell URLs dataset, consisting of URLs shared on its platform and their engagement metrics. Despite the unprecedented size of the dataset, it was ...altered to protect user privacy in two ways: 1) by adding differentially private noise to engagement counts, and 2) by censoring the data with a 100-public-share threshold for a URL’s inclusion. To understand how these alterations affect conclusions drawn from the data, we estimate the prevalence of fake news in the massive, censored URLs dataset and compare it to an estimate from a smaller, representative dataset. We show that censoring can substantially alter conclusions that are drawn from the Facebook dataset. Because of this 100-public-share threshold, descriptive statistics from the Facebook URLs dataset overestimate the share of fake news and news overall by as much as 4X. We conclude with more general implications for censoring data.
Although images have always been part of politics, research on the visual aspects of political communication recently gained momentum, especially with the spread of social media–based political ...communication. However, there are still several significant research gaps in this field. The aim of this article is to identify and compare the patterns and effects of Hungarian politicians’ (n = 51) image-based communication on Facebook (n = 2,992) and Instagram (n = 868) during the Hungarian parliamentary election campaign in 2018. By doing so, we shed light on two important dimensions of personalization: individualization and privatization. This work is designed to fill three gaps in the literature. We argue that existing research of visual political communication (1) treats images predominantly as illustrations, (2) is limited to single-platform studies, and (3) does not investigate the engagement effects of images. To move beyond these limitations, this study investigates images as objects of interest on their own; it adopts a cross-platform comparative approach and examines the engagement effects of visual cues by applying a combination of inductive and deductive qualitative content analysis. Our results show that images are often used to personalize communication. While on Facebook the individualization dimension of personalization is more common and popular, on Instagram its privatization dimension prevails. Furthermore, on Facebook, users like more politics-related candidate-centered images, but on Instagram we could not find similar effects for more informal visuals.
PDF
